在腺囊性癌症中使用人工智能介导的免疫疗法:挑战和当前的前景
Megha Singh1, Chitra Singh1, Khushi Chauhan1
1Department of Biotechnology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh 201309, India.
Critical reviews in oncology/hematology
|October 29, 2025
概括
人工智能 (AI) 通过整合机器学习和深度学习来提高头癌症的治疗效果,用于腺囊性癌 (AdCC) 诊断和个性化治疗.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 基因组学就是基因组学.
背景情况:
- 腺状囊性癌 (AdCC) 是一种具有侵略性的头癌,治疗选择有限.
- 人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),为AdCC管理提供了新的方法.
研究的目的:
- 探索AI在改善AdCC的诊断,理解和治疗中的应用.
- 为突出AI在推进AdCC患者精准医学方面的作用.
主要方法:
- 使用各种人工智能模型,如支持向量机 (SVM),随机森林 (RF) 和卷积神经网络 (CNN).
- 整合各种数据类型,包括成像,组织病理学和基因组信息.
- 应用人工智能用于分子标记物识别,免疫治疗优化和治疗反应预测.
主要成果:
- 在瘤分类方面,CNN显示出高精度,而射频模型在检测基因突变方面表现出色.
- 人工智能有助于分类AdCC亚型,并预测对检查点抑制剂等免疫疗法的反应.
- 人工智能增强了CAR-T细胞疗法,并通过液体活检实现实时监测.
结论:
- 人工智能是AdCC精密瘤学的变革性工具,改善了诊断并实现了个性化的治疗策略.
- 需要解决临床整合,可解释性和数据质量方面的挑战.
- 未来的研究应该专注于联合学习,可解释的人工智能和大规模验证,以获得更广泛的临床采用.
关键词:
腺性囊性癌瘤是什么?人工智能的人工智能计算瘤学计算瘤学深度学习 (Deep Learning) 是一种深度学习.免疫治疗是一种免疫疗法.机器学习 机器学习精准医学是一门精准的医学.瘤微环境 瘤微环境更多相关视频
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